Publications

Publications

Precision Spraying App (cooperation University of Applied Science Osnabrück)[2014]

Scholz, C.; Kinski, D.; Kohlbrecher, M.; Mentrup, D.; Ruckelshausen, A.
Camera-based selective weed control application module (“Precision Spraying App”) for the autonomous field robot platform BoniRob
International Conference of Agricultural Engineering, 6-10 July, 2014, (Abstract, Paper)
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The master thesis "Precision Spraying App" by Daniel Kinski dealt with the development of an application module for camera-based selective weed control for an autonomous field robot. The overall result of this work is a robust application module for field robot “BoniRob, which works effective in detection of plants and in distinction of crop and weeds. This master thesis was developed within the INTERREG, EUREGIO and the Productschap Akkerbouw “SmartBot” project.


OEOS presentation + algorithm (2014)

Kovacheva, I.; Kerssen, S.; Mentrup, D.; Rosemann, T.; Bilges, K.; Ruckelshausen, A.
Bildgebende Lichtschrankensensoren zur Detektion von Pflanzenhöhen, Ähren und Grannen
20. Workshop Computer-Bildanalyse in der Landwirtschaft, Bornimer Agrartechnische Berichte/Vorläufige Version Teil 1, 2014 (to be published 2015, ISSN 0947-7314).
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WeGa - Cooperation with University of Applied Science Osnabrück (2013)

Rempe-Vespermann, N.; Hommes, M.; Mentrup, D.; Ruckelshausen, A; (2013)
Pest monitoring in cabbage crops with different sensor systems
Berichte aus dem Julius Kühn-Institut, (171), S-37.
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BoniRob-Apps (2013)

Bangert, W.; Kielhorn, A.; Rahe, F.; Albert, A.; Biber, P.; Grzonka, S.; Haug, S.; Michaels, A.; Mentrup, D.; Hänsel, M.; Kinski, D.; Möller, K.; Ruckelshausen, A.; Scholz, C.; Sellmann, F.; Strothmann, W.; Trautz, D.
Field-Robot-Based Agriculture: "RemoteFarming.1" and "BoniRob-Apps"
71. Tagung LAND.TECHNIK - AgEng 2013, pp. 439-446, ISBN 978-3-18-092193-8.
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Breed Vision (2013)

Busemeyer, L.; Mentrup, D.; Möller, K.; Wunder, E.; Alheit, K.; Hahn, V.; Maurer, H.P.; Reif, J.C.; Würschum, T.; Müller, J.; Rahe, F.; Ruckelshausen, A.
BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding
Sensors, 2013, Vol. 13, pp. 2830-2847.
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Presentation ultrasonic - master thesis Makeen (2012)

Makeen, K.; Kerssen, S.; Mentrup, D.; Oelmann, B.; Ruckelshausen, A.
Multiple Reflection Ultrasonic Sensor System for Morphological Plant Parameters
Bornimer Agrartechnische Berichte, Heft 78, 2012, S. 110-116.
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BreedVision (2010)

Möller, K.; Alheit, K.v.; Busemeyer, L.; Hahn, V.; Linz, A.; Mauerer, H.-P.; Mentrup, D.; Rahe, F.; Ruckelshausen, A.; Weissmann, E.A.; Würschum, T.; Reif, J.C.
Breeding by Design TM: Sensor based phenotyping for a cascade use of energy Triticale under low-input conditions
15. Workshop Computer-Bildanalyse, 04.05.2010, Braunschweig, Bornimer Agrartechnische Berichte, Heft 73
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FRE 2010 (2010)

Feldkämper, N.; Hufendiek, H.; Jahn, H.; Kampmeyer, C.; Kerssen, S.; Lemke, C.; Mosler, D.; Rave, P.; Simon, S.; Tilneac, M.; Westerhoff, J.; Wunder, E.
“Team Optimaizer”, Proceedings of the 8th Field Robot Event 2010
urn:nbn:de:gbv:084-11100508057, URL: http://www.digibib.tu-bs.de/?docid=00041345.
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